code: def create_predict_dataset(self):
      np.random.seed(20)
      x = np.random.rand(20, 10)
  
      rdd = self.sc.parallelize(x)
  
      rdd = rdd.map(lambda x: [x])
  
      dataset = TFDataset.from_rdd(
          rdd, features=(tf.float32, [10]), batch_per_thread=1
      )
      return dataset
  
imports: import pytest
  from test.zoo.pipeline.utils.test_utils import ZooTestCase
  import tensorflow
  import numpy
  import os
  from zoo.tfpark import KerasModel, TFDataset, TFOptimizer
label_desc: Use image node_id 7 for calling the TestTFParkModel obj's underlying member method code with example usage: obj.create_predict_dataset() and returns: dataset